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    Number of items: 2.
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  • Machine learning in concrete durability: challenges and pathways identified by RILEM TC 315-DCS towards enhanced predictive models. (2025) Woubishet Zewdu Taffese, BenoĆ®t Hilloulin, Yury Villagran Zaccardi, Afshin Marani, Moncef L. Nehdi, Muhammad Usman Hanif, Muralidhar Kamath, Sandra Nunes, Stefanie von Greve-Dierfeld and Antonios Kanellopoulos
  • Report of RILEM TC 281-CCC: insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approaches. (2024) A. Vollpracht, G. J. G. Gluth, B. Rogiers, I. D. Uwanuakwa, Q. T. Phung, Y. Villagran Zaccardi, C. Thiel, H. Vanoutrive, J. M. Etcheverry, E. Gruyaert, S. Kamali-Bernard, A. Kanellopoulos, Z. Zhao, I. M. Martins, S. Rathnarajan and N. De Belie
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    1. Article